Detection of Left Ventricular Systolic Dysfunction From Electrocardiographic Images.

BACKGROUND: Left ventricular (LV) systolic dysfunction is associated with a >8-fold increased risk of heart failure and a 2-fold risk of premature death. The use of ECG signals in screening for LV systolic dysfunction is limited by their availability to clinicians. We developed a novel deep learning-based approach that can use ECG images for the screening of LV systolic dysfunction. METHODS: Using 12-lead ECGs plotted in multiple different formats, and corresponding echocardiographic data recorded within 15 days from the Yale New Haven Hospital between 2015 and 2021, we developed a convolutional neural network algorithm to detect an LV ejection fraction <40%. The model was validated within clinical settings at Yale New Haven Hospital and externally on ECG images from Cedars Sinai Medical Center in Los Angeles, CA; Lake Regional Hospital in Osage Beach, MO; Memorial Hermann Southeast Hospital in Houston, TX; and Methodist Cardiology Clinic of San Antonio, TX. In addition, it was validated in the prospective Brazilian Longitudinal Study of Adult Health. Gradient-weighted class activation mapping was used to localize class-discriminating signals on ECG images. RESULTS: Overall, 385 601 ECGs with paired echocardiograms were used for model development. The model demonstrated high discrimination across various ECG image formats and calibrations in internal validation (area under receiving operation characteristics [AUROCs], 0.91; area under precision-recall curve [AUPRC], 0.55); and external sets of ECG images from Cedars Sinai (AUROC, 0.90 and AUPRC, 0.53), outpatient Yale New Haven Hospital clinics (AUROC, 0.94 and AUPRC, 0.77), Lake Regional Hospital (AUROC, 0.90 and AUPRC, 0.88), Memorial Hermann Southeast Hospital (AUROC, 0.91 and AUPRC 0.88), Methodist Cardiology Clinic (AUROC, 0.90 and AUPRC, 0.74), and Brazilian Longitudinal Study of Adult Health cohort (AUROC, 0.95 and AUPRC, 0.45). An ECG suggestive of LV systolic dysfunction portended >27-fold higher odds of LV systolic dysfunction on transthoracic echocardiogram (odds ratio, 27.5 [95% CI, 22.3-33.9] in the held-out set). Class-discriminative patterns localized to the anterior and anteroseptal leads (V2 and V3), corresponding to the left ventricle regardless of the ECG layout. A positive ECG screen in individuals with an LV ejection fraction ≥40% at the time of initial assessment was associated with a 3.9-fold increased risk of developing incident LV systolic dysfunction in the future (hazard ratio, 3.9 [95% CI, 3.3-4.7]; median follow-up, 3.2 years). CONCLUSIONS: We developed and externally validated a deep learning model that identifies LV systolic dysfunction from ECG images. This approach represents an automated and accessible screening strategy for LV systolic dysfunction, particularly in low-resource settings.

Leveraging Electronic Health Records to Assess Residential Mobility Among Veterans in the Veterans Health Administration.

BACKGROUND: Residential mobility, or a change in residence, can influence health care utilization and outcomes. Health systems can leverage their patients' residential addresses stored in their electronic health records (EHRs) to better understand the relationships among patients' residences, mobility, and health. The Veteran Health Administration (VHA), with a unique nationwide network of health care systems and integrated EHR, holds greater potential for examining these relationships. METHODS: We conducted a cross-sectional analysis to examine the association of sociodemographics, clinical conditions, and residential mobility. We defined residential mobility by the number of VHA EHR residential addresses identified for each patient in a 1-year period (1/1-12/31/2018), with 2 different addresses indicating one move. We used generalized logistic regression to model the relationship between a priori selected correlates and residential mobility as a multinomial outcome (0, 1, ≥2 moves). RESULTS: In our sample, 84.4% (n=3,803,475) veterans had no move, 13.0% (n=587,765) had 1 move, and 2.6% (n=117,680) had ≥2 moves. In the multivariable analyses, women had greater odds of moving [aOR=1.11 (95% CI: 1.10,1.12) 1 move; 1.27 (1.25,1.30) ≥2 moves] than men. Veterans with substance use disorders also had greater odds of moving [aOR=1.26 (1.24,1.28) 1 move; 1.77 (1.72,1.81) ≥2 moves]. DISCUSSION: Our study suggests about 16% of veterans seen at VHA had at least 1 residential move in 2018. VHA data can be a resource to examine relationships between place, residential mobility, and health.

A roadmap to artificial intelligence (AI): Methods for designing and building AI ready data to promote fairness.

OBJECTIVES: We evaluated methods for preparing electronic health record data to reduce bias before applying artificial intelligence (AI). METHODS: We created methods for transforming raw data into a data framework for applying machine learning and natural language processing techniques for predicting falls and fractures. Strategies such as inclusion and reporting for multiple races, mixed data sources such as outpatient, inpatient, structured codes, and unstructured notes, and addressing missingness were applied to raw data to promote a reduction in bias. The raw data was carefully curated using validated definitions to create data variables such as age, race, gender, and healthcare utilization. For the formation of these variables, clinical, statistical, and data expertise were used. The research team included a variety of experts with diverse professional and demographic backgrounds to include diverse perspectives. RESULTS: For the prediction of falls, information extracted from radiology reports was converted to a matrix for applying machine learning. The processing of the data resulted in an input of 5,377,673 reports to the machine learning algorithm, out of which 45,304 were flagged as positive and 5,332,369 as negative for falls. Processed data resulted in lower missingness and a better representation of race and diagnosis codes. For fractures, specialized algorithms extracted snippets of text around keywork "femoral" from dual x-ray absorptiometry (DXA) scans to identify femoral neck T-scores that are important for predicting fracture risk. The natural language processing algorithms yielded 98% accuracy and 2% error rate The methods to prepare data for input to artificial intelligence processes are reproducible and can be applied to other studies. CONCLUSION: The life cycle of data from raw to analytic form includes data governance, cleaning, management, and analysis. When applying artificial intelligence methods, input data must be prepared optimally to reduce algorithmic bias, as biased output is harmful. Building AI-ready data frameworks that improve efficiency can contribute to transparency and reproducibility. The roadmap for the application of AI involves applying specialized techniques to input data, some of which are suggested here. This study highlights data curation aspects to be considered when preparing data for the application of artificial intelligence to reduce bias.

Temporal and Geographic Patterns of Documentation of Sexual Orientation and Gender Identity Keywords in Clinical Notes.

OBJECTIVE: Disclosure of sexual orientation and gender identity correlates with better outcomes, yet data may not be available in structured fields in electronic health record data. To gain greater insight into the care of sexual and gender-diverse patients in the Veterans Health Administration (VHA), we examined the documentation patterns of sexual orientation and gender identity through extraction and analyses of data contained in unstructured electronic health record clinical notes. METHODS: Salient terms were identified through authoritative vocabularies, the research team's expertise, and frequencies, and the use of consistency in VHA clinical notes. Term frequencies were extracted from VHA clinical notes recorded from 2000 to 2018. Temporal analyses assessed usage changes in normalized frequencies as compared with nonclinical use, relative growth rates, and geographic variations. RESULTS: Over time most terms increased in use, similar to Google ngram data, especially after the repeal of the "Don't Ask Don't Tell" military policy in 2010. For most terms, the usage adoption consistency also increased by the study's end. Aggregated use of all terms increased throughout the United States. CONCLUSION: Term usage trends may provide a view of evolving care in a temporal continuum of changing policy. These findings may be useful for policies and interventions geared toward sexual and gender-diverse individuals. Despite the lack of structured data, the documentation of sexual orientation and gender identity terms is increasing in clinical notes.

Characteristics Associated with Spirometry Guideline Adherence in VA Patients Hospitalized with Chronic Obstructive Pulmonary Disease.

BACKGROUND: The Global Initiative for Chronic Obstructive Lung Disease (GOLD) recommends at least annual spirometry for patients with chronic obstructive pulmonary disease (COPD). Since spirometry acquisition is variable in clinical practice, identifying characteristics associated with annual spirometry may inform strategies to improve care for patients with COPD. METHODS: We included veterans hospitalized for COPD at Veterans Health Administration (VHA) facilities from 10/2012 to 09/2015. Our primary outcome was spirometry within 1 year of COPD hospitalization. Patient demographics, health factors, and comorbidities as well as practice and geographic variables were identified using Corporate Data Warehouse; provider characteristics were obtained from the Survey of Healthcare Experiences of Patients. We used logistic regression with a random intercept to account for potential clustering within facilities. RESULTS: Spirometry was completed 1 year before or after hospitalization for 20,683/38,148 (54.2%) veterans across 114 facilities. Patients with spirometry were younger, (mean=67.2 years (standard deviation (SD)=9.3) vs. 69.4 (10.3)), more likely non-white (21.3% vs. 19.7%), and more likely to have comorbidities (p<0.0001 for asthma, depression, and post-traumatic stress disorder). Pulmonary clinic visit was most strongly associated with spirometry (odds ratio (OR)=3.14 [95% confidence interval 2.99-3.30]). There was no association for facility complexity. In a secondary analysis including provider-level data (3862 patients), results were largely unchanged. There was no association between primary care provider age, gender, or type (physician vs. advanced practice registered nurse vs. physician assistant) and spirometry. CONCLUSION: In a cohort of high-risk COPD patients, just over half completed spirometry within 1 year of hospitalization. Pulmonary clinic visit was most strongly associated with 1-year spirometry, though provider variables were not. Spirometry completion for high-risk COPD patients remains suboptimal and strategies to improve post-hospitalization care for patients not seen in pulmonary clinic should be developed to ensure guideline concordant care.

Gender Differences in Guideline-Directed Medical Therapy for Cardiovascular Disease Among Young Veterans.

BACKGROUND: There is an increasing burden of cardiovascular disease, including coronary artery disease (CAD) and heart failure (HF), among women Veterans. Clinical practice guidelines recommend multiple pharmacotherapies that can reduce risk of mortality and adverse cardiovascular outcomes. OBJECTIVE: To determine if there are disparities in the use of guideline-directed medical therapy by gender among Veterans with incident CAD and HF. DESIGN: Retrospective. PARTICIPANTS: Veterans (934,504; 87.8% men and 129,469; 12.2% women) returning from Operations Enduring Freedom, Iraqi Freedom, and New Dawn. MAIN MEASURES: Differences by gender in the prescription of Class 1, Level of Evidence A guideline-directed medical therapy among patients who developed incident CAD and HF at 30 days, 90 days, and 12 months after diagnosis. For CAD, medications included statins and antiplatelet therapy. For HF, medications included beta-blockers and renin-angiotensin-aldosterone system inhibitors. KEY RESULTS: Overall, women developed CAD and HF at a younger average age than men (mean 45.8 vs. 47.7 years, p<0.001; and 43.7 vs. 45.4 years, p<0.02, respectively). In the 12 months following a diagnosis of incident CAD, the odds of a woman receiving a prescription for at least one CAD drug was 0.85 (95% confidence interval [CI], 0.68-1.08) compared to men. In the 12 months following a diagnosis of incident HF, the odds of a woman receiving at least one HF medication was 0.54 (95% CI, 0.37-0.79) compared to men. CONCLUSIONS: Despite guideline recommendations, young women Veterans have approximately half the odds of being prescribed guideline-directed medical therapy within 1-year after a diagnosis of HF. These results highlight the need to develop targeted strategies to minimize gender disparities in CVD care to prevent adverse outcomes in this young and growing population.

Longitudinal Analysis of Persistent Postconcussion Symptoms, Probable TBI, and Intimate Partner Violence Perpetration Among Veterans.

OBJECTIVE: To determine veterans' intimate partner violence (IPV) perpetration following report of traumatic brain injury (TBI) and persistent postconcussion symptoms (PPCSs). SETTING: Five Department of Veterans Affairs (VA) medical centers. PARTICIPANTS: Veterans with nonmissing data on main measures, resulting in N = 1150 at baseline and N = 827 at follow-up. DESIGN: Prospective cohort study with secondary data analysis of self-reported TBI, PPCSs, and IPV perpetration, controlling for common predictors of IPV, including binge drinking, marijuana use, pain intensity, and probable posttraumatic stress disorder. MAIN MEASURES: VA TBI Screening Tool to assess for probable TBI and PPCSs; Conflict Tactics Scale-Revised (CTS-2S) to assess for IPV perpetration. RESULTS: Almost half (48%) of participants reported IPV perpetration at follow-up. Both probable TBI and higher PPCSs at baseline were associated with overall IPV perpetration and more frequent IPV perpetration at follow-up. Only PPCSs significantly predicted IPV perpetration after controlling for common predictors of IPV perpetration. Neither probably TBI nor PPCSs predicted frequency of IPV perpetration. CONCLUSION: When considered alongside common risk factors for IPV perpetration, PPCS was uniquely associated with the likelihood of IPV perpetration in this veteran sample. Given post-9/11 veterans' elevated risk for head injury, findings emphasize the distinctive value of PPCSs in understanding risk for IPV perpetration. We recommend increased assessment for PPCSs in clinical practice among veterans enrolled in VA care and highlight several important areas for future research and intervention development.

Posttraumatic Stress Disorder, Antidepressant Use, and Hemorrhagic Stroke in Young Men and Women: A 13-Year Cohort Study.

BACKGROUND AND PURPOSE: Antidepressants are commonly prescribed for posttraumatic stress disorder (PTSD) and may increase the risk of bleeding, including hemorrhagic stroke. METHODS: We prospectively examined independent effects of PTSD, selective serotonin and norepinephrine reuptake inhibitors (SSRI and SNRI) on the risk of incident hemorrhagic stroke in a nationwide sample of 1.1 million young and middle-aged veterans. Time-varying multivariate Cox models were used to examine hemorrhagic stroke risk by PTSD status and use of SSRI or SNRI while adjusting for demographics, lifestyle factors, stroke, and psychiatric comorbidities. Sensitivity analyses controlled for health care utilization. RESULTS: During 13 years of follow-up (2.14 years on average), 507 patients (12% women) suffered a hemorrhagic stroke. The overall incidence rate was 1.70 events per 10 000-person years. In unadjusted models, PTSD was associated with an 82% greater risk of new-onset hemorrhagic stroke (hazard ratio [HR], 1.82 [95% CI, 1.48-2.24]), SSRI use was associated with a >2-fold risk (HR, 2.02 [95% CI, 1.66-2.57]), and SNRI use was associated with a 52% greater risk (HR, 1.52 [95% CI, 1.08-2.16]). In fully adjusted models, effects of PTSD and SNRI were attenuated (adjusted HR, 1.03 [95% CI, 0.81-1.34]; adjusted HR, 1.19 [95% CI, 0.83-1.71]), but SSRI use remained associated with a 45% greater risk of hemorrhagic stroke (adjusted HR, 1.45 [95% CI, 1.13-1.85]). Hypertension, drug abuse, and alcohol abuse were also associated with increased stroke risk. Nonobesity and being non-Hispanic were protective factors. In sensitivity analyses, health care utilization was a small but significant predictor of stroke. CONCLUSIONS: In the largest known investigation of PTSD and antidepressant-associated risk for hemorrhagic stroke in young adults, use of SSRIs, but neither PTSD nor SNRIs were independently associated with incident stroke. SNRIs may be preferable for treating PTSD and comorbid conditions, although pursuing other modifiable risk factors and non-pharmacological treatments for PTSD also remains essential.

Use of Proton Pump Inhibitors Increases Risk of Incident Kidney Stones.

BACKGROUND AND AIMS: Proton pump inhibitors (PPIs) are widely prescribed and have effects on gut ion absorption and urinary ion concentrations. PPIs might therefore protect against or contribute to development of kidney stones. We investigated the association between PPI use and kidney stones. METHODS: We performed a retrospective study using data from the Women's Veteran's Cohort Study, which comprised men and women, from October 1, 1999 through September 30, 2017. We collected data from 465,891 patients on PPI usage over time, demographics, laboratory results, comorbidities, and medication usage. Time-varying Cox proportional hazards and propensity matching analyses determined risk of PPI use and incident development of kidney stones. Use of histamine-2 receptor antagonists (H2RAs) was measured and levothyroxine use was a negative control exposure. RESULTS: PPI use was associated with kidney stones in the unadjusted analysis, with PPI use as a time-varying variable (hazard ratio [HR], 1.74; 95% CI, 1.67-1.82), and persisted in the adjusted analysis (HR, 1.46; CI, 1.38-1.55). The association was maintained in a propensity score-matched subset of PPI users and nonusers (adjusted HR, 1.25; CI 1.19-1.33). Increased dosage of PPI was associated with increased risk of kidney stones (HR, 1.11; CI, 1.09-1.14 for each increase in 30 defined daily doses over a 3-month period). H2RAs were also associated with increased risk (adjusted HR, 1.47; CI 1.31-1.64). We found no association, in adjusted analysis, of levothyroxine use with kidney stones (adjusted HR, 1.06; CI 0.94-1.21). CONCLUSIONS: In a large cohort study of veterans, we found PPI use to be associated with a dose-dependent increase in risk of kidney stones. H2RA use also has an association with risk of kidney stones, so acid suppression might be an involved mechanism. The effect is small and should not change prescribing for most patients.

DSM-5 eating disorder prevalence, gender differences, and mental health associations in United States military veterans.

OBJECTIVE: Little is known about prevalence estimates of new and revised DSM-5 eating disorders diagnoses in general, and especially among high-risk, underserved and diverse eating disorder populations. The aim of the current study was to determine prevalence, gender differences and correlates of DSM-5 eating disorders in veterans. METHOD: Iraq and Afghanistan war era veterans (N = 1,121, 51.2% women) completed the Eating Disorder Diagnostic Scale-5 and validated measures of eating pathology and mental health between July 2014 and September 2019. RESULTS: Overall more women than men (32.8% vs. 18.8%, p < .001) reported symptoms consistent with a DSM-5 eating disorder. Prevalence estimates (women vs. men) for the specific diagnoses were: Anorexia Nervosa (AN; 0.0% vs. 0.0%), Bulimia Nervosa (BN; 6.1% vs. 3.5%), Binge-Eating Disorder (BED; 4.4% vs. 2.9%), Atypical AN (AAN; 13.6% vs. 4.9%), Subclinical BN (0.0% vs. 0.2%), Subclinical BED (1.4% vs. 0.6%), Purging Disorder (2.1% vs. 0.7%), and Night Eating Syndrome (NES; 5.2% vs. 6.0%). Women were more likely to have BN or AAN, and there was no difference for BED or NES among genders. The eating disorder group had a higher mean BMI, and significantly greater eating pathology and mental health symptoms than the non-eating disorder group. DISCUSSION: Approximately one-third of women, and one-fifth of men, reported symptoms consistent with a DSM-5 eating disorder diagnosis. These high prevalence estimates across genders, and associated mental health concerns, suggest an urgent need to better understand and address eating disorders in military and veteran populations.

Association of prescription opioids and incident cardiovascular risk factors among post-9/11 Veterans.

Reports indicate that long-term opioid therapy is associated with cardiovascular disease (CVD). Using VA electronic health record data, we measured the impact of opioid use on the incidence of modifiable CVD risk factors. We included Veterans whose encounter was between October 2001 to November 2014. We identified Veterans without CVD risk factors during our baseline period, defined as the date of first primary care visit plus 365 days. The main exposure was opioid prescriptions (yes/no, long-term (i.e. ≥90 days) vs no opioid, and long-term vs short-term (i.e. <90 days)), which was time-updated yearly from the end of the baseline period to February 2015. The main outcome measures were incident CVD risk factors (hypertension, dyslipidemia, diabetes, obesity, and current smoking). After excluding prevalent CVD risk factors, we identified 308,015 Veterans. During the first year of observation, 12,725 (4.1%) Veterans were prescribed opioids, including 2028 (0.6%) with long-term exposure. Compared to patients without opioid use, Veterans with opioid use were more likely to have CVD risk factors. Those with long-term exposure were at higher risk of having hypertension (adjusted average hazards ratio [HR] 1.45, 99% confidence interval [CI] 1.33-1.59), dyslipidemia (HR 1.45, 99% CI 1.35-156), diabetes (HR 1.30, 99% CI 1.07-1.57), current smoking status (HR 1.34, 99% CI 1.24-1.46), and obesity (HR 1.22, 99% CI 1.12-1.32). Compared to short-term exposure, long-term had higher risk of current smoking status (HR 1.12, 99% CI 1.01-1.24). These findings suggest potential benefit to screening and surveillance of CVD risk factors for patients prescribed opioids, especially long-term opioid therapy.

The Relationship Between Body Mass Index and Pain Intensity Among Veterans with Musculoskeletal Disorders: Findings from the MSD Cohort Study.

OBJECTIVE: To examine the relationship between body mass index (BMI) and pain intensity among veterans with musculoskeletal disorder diagnoses (MSDs; nontraumatic joint disorder; osteoarthritis; low back, back, and neck pain). SETTING: Administrative and electronic health record data from the Veterans Health Administration (VHA). SUBJECTS: A national cohort of US military veterans with MSDs in VHA care during 2001-2012 (N = 1,759,338). METHODS: These cross-sectional data were analyzed using hurdle negative binomial models of pain intensity as a function of BMI, adjusted for comorbidities and demographics. RESULTS: The sample had a mean age of 59.4, 95% were male, 77% were white/Non-Hispanic, 79% were overweight or obese, and 42% reported no pain at index MSD diagnosis. Overall, there was a J-shaped relationship between BMI and pain (nadir = 27 kg/m2), with the severely obese (BMI ≥ 40 kg/m2) being most likely to report any pain (OR vs normal weight = 1.23, 95% confidence interval = 1.21-1.26). The association between BMI and pain varied by MSD, with a stronger relationship in the osteoarthritis group and a less pronounced relationship in the back and low back pain groups. CONCLUSIONS: There was a high prevalence of overweight/obesity among veterans with MSD. High levels of BMI (>27 kg/m2) were associated with increased odds of pain, most markedly among veterans with osteoarthritis.

Dynamic Public Health Surveillance to Track and Mitigate the US COVID-19 Epidemic: Longitudinal Trend Analysis Study.

BACKGROUND: The emergence of SARS-CoV-2, the virus that causes COVID-19, has led to a global pandemic. The United States has been severely affected, accounting for the most COVID-19 cases and deaths worldwide. Without a coordinated national public health plan informed by surveillance with actionable metrics, the United States has been ineffective at preventing and mitigating the escalating COVID-19 pandemic. Existing surveillance has incomplete ascertainment and is limited by the use of standard surveillance metrics. Although many COVID-19 data sources track infection rates, informing prevention requires capturing the relevant dynamics of the pandemic. OBJECTIVE: The aim of this study is to develop dynamic metrics for public health surveillance that can inform worldwide COVID-19 prevention efforts. Advanced surveillance techniques are essential to inform public health decision making and to identify where and when corrective action is required to prevent outbreaks. METHODS: Using a longitudinal trend analysis study design, we extracted COVID-19 data from global public health registries. We used an empirical difference equation to measure daily case numbers for our use case in 50 US states and the District of Colombia as a function of the prior number of cases, the level of testing, and weekly shift variables based on a dynamic panel model that was estimated using the generalized method of moments approach by implementing the Arellano-Bond estimator in R. RESULTS: Examination of the United States and state data demonstrated that most US states are experiencing outbreaks as measured by these new metrics of speed, acceleration, jerk, and persistence. Larger US states have high COVID-19 caseloads as a function of population size, density, and deficits in adherence to public health guidelines early in the epidemic, and other states have alarming rates of speed, acceleration, jerk, and 7-day persistence in novel infections. North and South Dakota have had the highest rates of COVID-19 transmission combined with positive acceleration, jerk, and 7-day persistence. Wisconsin and Illinois also have alarming indicators and already lead the nation in daily new COVID-19 infections. As the United States enters its third wave of COVID-19, all 50 states and the District of Colombia have positive rates of speed between 7.58 (Hawaii) and 175.01 (North Dakota), and persistence, ranging from 4.44 (Vermont) to 195.35 (North Dakota) new infections per 100,000 people. CONCLUSIONS: Standard surveillance techniques such as daily and cumulative infections and deaths are helpful but only provide a static view of what has already occurred in the pandemic and are less helpful in prevention. Public health policy that is informed by dynamic surveillance can shift the country from reacting to COVID-19 transmissions to being proactive and taking corrective action when indicators of speed, acceleration, jerk, and persistence remain positive week over week. Implicit within our dynamic surveillance is an early warning system that indicates when there is problematic growth in COVID-19 transmissions as well as signals when growth will become explosive without action. A public health approach that focuses on prevention can prevent major outbreaks in addition to endorsing effective public health policies. Moreover, subnational analyses on the dynamics of the pandemic allow us to zero in on where transmissions are increasing, meaning corrective action can be applied with precision in problematic areas. Dynamic public health surveillance can inform specific geographies where quarantines are necessary while preserving the economy in other US areas.

Factors Associated With Posttraumatic Stress Disorder Among Veterans of Recent Wars Receiving Veterans Affairs Chiropractic Care.

OBJECTIVES: Post-traumatic stress disorder (PTSD) is thought to complicate pain management outcomes, which is consistent with the impact of other psychosocial factors in the biopsychosocial model of pain. This study aimed to identify patient sociodemographic and clinical characteristics associated with PTSD prevalence among veterans of Operations Enduring Freedom/Iraqi Freedom/New Dawn (OEF/OIF/OND) who received Veterans Affairs (VA) chiropractic care. METHODS: A cross-sectional analysis of electronic health record data from a national cohort study of OEF/OIF/OND veterans with at least 1 visit to a VA chiropractic clinic from 2001 to 2014 was performed. The primary outcome measure was a prior PTSD diagnosis. Variables including sex, race, age, body mass index, pain intensity, alcohol and substance use disorders, and smoking status were examined in association with PTSD diagnosis using logistic regression. RESULTS: We identified 14,025 OEF/OIF/OND veterans with at least 1 VA chiropractic visit, with a mean age of 38 years and 54.2% having a diagnosis of PTSD. Male sex (adjusted odds ratio [OR] = 1.23, 95% CI = 1.11-1.37), younger age (OR = 0.99, CI = 0.98-0.99), moderate-to-severe pain intensity (numerical rating scale ≥ 4) (OR = 1.72, CI = 1.59-1.87), body mass index ≥ 30 (OR = 1.34, CI = 1.24-1.45), current smoking (OR = 1.32, CI = 1.20-1.44), and having an alcohol or substance use disorder (OR = 4.51, CI = 4.01-5.08) were significantly associated with a higher likelihood of PTSD diagnosis. CONCLUSION: Post-traumatic stress disorder is a common comorbidity among OEF/OIF/OND veterans receiving VA chiropractic care and is significantly associated with several patient characteristics. Recognition of these factors is important for the appropriate diagnosis and management of veterans with PTSD seeking chiropractic treatment for pain conditions.

Screening for Military Sexual Trauma Is Associated With Improved HIV Screening in Women Veterans.

OBJECTIVE: To examine factors associated with HIV screening among women veterans receiving health care in the Department of Veterans Affairs. MATERIALS AND METHODS: Cross-sectional study of women veterans receiving Veterans Affairs care between 2001 and 2014 derived from the Women Veteran's Cohort Study. Descriptive and bivariate statistics were calculated comparing patients with and without an HIV screen. Generalized estimating equations were conducted to estimate the odds of HIV screening among women screened for military sexual trauma (MST) and the subset with a positive MST screen. Multivariable analyses were adjusted for demographic characteristics, mental health diagnoses, pregnancy, HIV risk factors, and facility level clustering. RESULTS: Among the 113,796 women veterans in the sample, 84.3% were screened for MST and 13.2% were screened for HIV. Women screened for MST were over twice as likely to be tested for HIV (odds ratio, 2.8; 95% confidence interval, 2.2-3.5). A history of MST was inversely associated with HIV screening (odds ratio, 0.9; 95% confidence interval, 0.8-0.9). CONCLUSIONS: Women veterans screened for sexual trauma received more comprehensive preventive health care in the form of increased HIV screening.

Evaluation of Complementary and Integrative Health Approaches Among US Veterans with Musculoskeletal Pain Using Propensity Score Methods.

Objectives: To examine the treatment effectiveness of complementary and integrative health approaches (CIH) on chronic pain using Propensity Score (PS) methods. Design, Settings, and Participants: A retrospective cohort of 309,277 veterans with chronic musculoskeletal pain assessed over three years after initial diagnosis. Methods: CIH exposure was defined as one or more clinical visits for massage, acupuncture, or chiropractic care. The treatment effect of CIH on self-rated pain intensity was examined using a longitudinal model. PS-matching and inverse probability of treatment weighting (IPTW) were used to account for potential selection and confounding biases. Results: At baseline, veterans with (7,621) and without (301,656) CIH exposure differed significantly in 21 out of 35 covariates. During the follow-up period, on average CIH recipients had 0.83 (95% confidence interval [CI] = 0.77 to 0.89) points higher pain intensity ratings (range = 0-10) than nonrecipients. This apparent unfavorable effect size was reduced to 0.37 (95% CI = 0.28 to 0.45) after PS matching, 0.36 (95% CI = 0.29 to 0.44) with IPTW on the treated (IPTW-T) weighting, and diminished to null when integrating IPTW-T with PS matching (0.004, 95% CI = -0.09 to 0.10). An alternative IPTW model and conventional covariate adjustment appeared least powerful in terms of potential bias reduction. Sensitivity analyses restricting the follow-up period to one year after CIH initiation derived consistent results. Conclusions: PS-based causal methods successfully eliminated baseline difference between exposure groups in all measured covariates, yet they did not detect a significant difference in the self-rated pain intensity outcome between veterans who received CIHs and those who did not during the follow-up period.

Increased Echocardiographic Pulmonary Pressure in HIV-infected and -uninfected Individuals in the Veterans Aging Cohort Study.

RATIONALE: The epidemiology and prognostic impact of increased pulmonary pressure among HIV-infected individuals in the antiretroviral therapy era is not well described. OBJECTIVES: To examine the prevalence, clinical features, and outcomes of increased echocardiographic pulmonary pressure in HIV-infected and -uninfected individuals. METHODS: This study evaluated 8,296 veterans referred for echocardiography with reported pulmonary artery systolic pressure (PASP) estimates from the Veterans Aging Cohort study, an observational cohort of HIV-infected and -uninfected veterans matched by age, sex, race/ethnicity, and clinical site. The primary outcome was adjusted mortality by HIV status. MEASUREMENTS AND MAIN RESULTS: PASP was reported in 2,831 HIV-infected and 5,465 HIV-uninfected veterans (follow-up [mean ± SD], 3.8 ± 2.6 yr). As compared with uninfected veterans, HIV-infected veterans with HIV viral load greater than 500 copies/ml (odds ratio, 1.27; 95% confidence interval [CI], 1.05-1.54) and those with CD4 cell count less than 200 cells/µl (odds ratio, 1.28; 95% CI, 1.02-1.60) had a higher prevalence of PASP greater than or equal to 40 mm Hg. As compared with uninfected veterans with a PASP less than 40 mm Hg, HIV-infected veterans with a PASP greater than or equal to 40 mm Hg had an increased risk of death (adjusted hazard ratio, 1.78; 95% CI, 1.57-2.01). This risk persisted even among participants without prevalent comorbidities (adjusted hazard ratio, 3.61; 95% CI, 2.17-6.01). The adjusted risk of mortality in HIV-infected veterans was higher at all PASP values than in uninfected veterans, including at values currently considered to be normal. CONCLUSIONS: HIV-infected people with high HIV viral loads or low CD4 cell counts have a higher prevalence of increased PASP than uninfected people. Mortality risk in HIV-infected veterans increases at lower values of PASP than previously recognized and is present even among those without prevalent comorbidities. These findings may inform clinical decision-making regarding screening and surveillance of pulmonary hypertension in HIV-infected individuals.

The relationship between non-permanent migration and non-communicable chronic disease outcomes for cancer, heart disease and diabetes - a systematic review.

BACKGROUND: The relationship between migration and health has primarily focused on permanent migrants, although non-permanent migrants comprise a large proportion of global migrants. Non-permanent migrants may have distinct needs that affect their health outcomes. This systematic review 1) examined the evidence concerning whether non-permanent migrants have different health outcomes than other population groups for non-communicable chronic diseases (NCDs) and 2) sought to describe how non-permanent migration is defined and measured. METHODS: For this systematic review, we developed a comprehensive search string for terms about non-permanent migration and disease and screening rates for three NCDs (cancer, heart disease, and diabetes) and searched thirteen electronic databases using the search string. Authors reviewed and evaluated articles for full-text review; hand-searched specific journals and grey literature; and scanned reference lists of relevant studies. Authors extracted and assessed data based on standard reporting for epidemiologic studies. RESULTS: We identified twelve peer-reviewed articles that examined NCD outcomes for non-permanent migrants as compared to other populations. Some studies showed worse or no significant differences in the NCD outcomes for non-permanent migrants compared to other groups. The articles reflected substantial diversity that exists among non-permanent migrants, which ranged from economic migrants to nomadic populations. CONCLUSION: Non-permanent migrants varied in their NCD outcomes as compared to other groups. Our included studies were heterogenous in their study designs and their definitions and measurement of non-permanent migration, which limited the ability to make conclusive statements about the health of the populations as compared to other populations. More standardization is needed in research to better understand the diversity in these populations and quantify differences in risk factors and disease rates between non-permanent migrants and other groups.

Variation in National Opioid Prescribing Patterns Following Surgery for Kidney Stones.

Background: Opioid misuse is a significant public health problem. As initial exposures to opioids are frequently encountered through the management of postoperative pain, we examined patterns of opioid prescribing following surgical treatment for nephrolithiasis. Methods: We identified patients with nephrolithiasis in the national Women Veterans Cohort Study (WVCS) who were treated surgically by diagnosis and procedure codes. Using standard conversion factors, we calculated the morphine milligram equivalent (MME) dose prescribed. We used descriptive statistics to characterize opioid prescription across management strategy and multivariable regression to examine clinical and demographic characteristics associated with dispensed dose. Results: We identified 22,609 patients diagnosed with kidney stones during 1999-2014, 1,976 of whom were treated surgically and 1,582 (80.1%) of whom received an opioid prescription. The median age was 39 years, and 1,366 (90%) were male; 1,314 (86.3%) were treated with ureteroscopy, 172 (11.3%) with extracorporeal shockwave lithotripsy, and 36 (2.4%) with percutaneous nephrolithotomy. The median number of days supplied per opioid prescription (interquartile range) was 10 (5-14), and patients were dispensed a median of 180 (140-300) MME. A total of 6.4% of patients received ≥50 MME/d. On multivariable analysis, comorbid diagnosis of post-traumatic stress disorder (PTSD) was associated with higher total dispensed dose, whereas surgery type was not. Conclusions: We observed substantial variation in opioid prescribing following surgical treatment of nephrolithiasis. Although type of surgical intervention did not impact opioid dosing, patients with a diagnosis of PTSD were more likely to receive higher doses. This work can inform efforts to improve the safety and efficacy of postoperative opioid prescribing.

Opioid Use Among Veterans of Recent Wars Receiving Veterans Affairs Chiropractic Care.

Objective: To examine patient sociodemographic and clinical characteristics associated with opioid use among Veterans of Operations Enduring Freedom/Iraqi Freedom/New Dawn (OEF/OIF/OND) who receive chiropractic care, and to explore the relationship between timing of a chiropractic visit and receipt of an opioid prescription. Methods: Cross-sectional analysis of administrative data on OEF/OIF/OND veterans who had at least one visit to a Veterans Affairs (VA) chiropractic clinic between 2004 and 2014. Opioid receipt was defined as at least one prescription within a window of 90 days before to 90 days after the index chiropractic clinic visit. Results: We identified 14,025 OEF/OIF/OND veterans with at least one chiropractic visit, and 4,396 (31.3%) of them also received one or more opioid prescriptions. Moderate/severe pain (odds ratio [OR] = 1.87, 95% confidence interval [CI] = 1.72-2.03), PTSD (OR = 1.55, 95% CI = 1.41-1.69), depression (OR = 1.40, 95% CI = 1.29-1.53), and current smoking (OR = 1.39, 95% CI = 1.26-1.52) were associated with a higher likelihood of receiving an opioid prescription. The percentage of veterans receiving opioid prescriptions was lower in each of the three 30-day time frames assessed after the index chiropractic visit than before. Conclusions: Nearly one-third of OEF/OIF/OND veterans receiving VA chiropractic services also received an opioid prescription, yet the frequency of opioid prescriptions was lower after the index chiropractic visit than before. Further study is warranted to assess the relationship between opioid use and chiropractic care.